2014
DOI: 10.1071/an14538
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Predicting feed intake and liveweight gain of Ongole (Bos indicus) cattle in Indonesia

Abstract: We evaluated the precision and accuracy of equations from the Australian Ruminant Feeding Standards (ARFS) and the Large Ruminant Nutrition System (LRNS) in predicting the performance of Ongole (Bos indicus) cattle under Indonesian conditions. A database was constructed using information from 121 cattle in five different pen-feeding experiments. Cattle included mature cows and growing bulls, and they were fed a range of diets commonly used by Indonesian farmers. We compared observed and predicted dry matter in… Show more

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Cited by 8 publications
(11 citation statements)
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“…Ovens were not available in Sumba for accurate measurement of DM content. Thus, DM intake (DMI) of bulls and the amount of legume offered daily was calculated by using DM values reported in the literature: clitoria, 25% DM (Nulik et al 2013); native grass, 25.8% DM (Quigley et al 2009); rice straw, 63.4% DM (Mayberry et al 2014). Feed conversion ratio was calculated by dividing average DMI by average daily LWG.…”
Section: Methodsmentioning
confidence: 99%
“…Ovens were not available in Sumba for accurate measurement of DM content. Thus, DM intake (DMI) of bulls and the amount of legume offered daily was calculated by using DM values reported in the literature: clitoria, 25% DM (Nulik et al 2013); native grass, 25.8% DM (Quigley et al 2009); rice straw, 63.4% DM (Mayberry et al 2014). Feed conversion ratio was calculated by dividing average DMI by average daily LWG.…”
Section: Methodsmentioning
confidence: 99%
“…CP, crude protein; DM, dry matter. 1 Not reported but estimated based on the average (i.e., 2-4) number of parity reported in the study; 2 adopted from [9] to parameterize the lactation curve; 3 obtained from own data and [16]; 4 the proportion of water-soluble nitrogen in total nitrogen of the diet, 5 the proportion of potentially degradable nitrogen other than water-soluble nitrogen of the diet, and 6 fractional rumen degradation rate per hour of the b fraction of feed nitrogen.…”
Section: Dataset Used For Model Evaluationmentioning
confidence: 99%
“…These livestock models differ in their assumptions and approach (e.g., steady state and dynamic) to simulate cattle production systems [45]. However, one of the challenges inherent to most livestock simulation models used in the (Sub-)Tropics is still the errors associated with predictions of resource use (i.e., feed intake) and productive performance (e.g., BW gain) [5,9]. Hence, improving the adequacy (i.e., accuracy and precision) of predictions should continue to receive attention to ensure that the basis on which conclusions will be drawn from simulation outcomes is reliable.…”
Section: Relevance Of the Modifications Made In Livsim-modmentioning
confidence: 99%
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“…Ingredients were purchased from local feed traders, and mixed at the Beef Cattle Research Institute in Grati, East Java. The ration was formulated using the Large Ruminant Nutrition System (LRNS) version 1.0.17, which is based on the Cornell Net Carbohydrate and Protein System (Fox et al 2004), and was evaluated for feeding Indonesian Ongole cattle (Mayberry et al 2014). According to LRNS formulation, the concentrate would provide 10.6 MJ metabolisable energy (ME) and 117 g crude protein (CP) per kg dry matter (DM).…”
Section: Diets and Feedingmentioning
confidence: 99%